All URIs are relative to https://localhost
Method | HTTP request | Description |
---|---|---|
get_metric_details | GET /api/v2/chart/metric/detail | Get more details on a metric, including reporting sources and approximate last time reported |
MetricDetailsResponse get_metric_details(m, l=l, c=c, h=h)
Get more details on a metric, including reporting sources and approximate last time reported
from __future__ import print_function
import time
import wavefront_api_client
from wavefront_api_client.rest import ApiException
from pprint import pprint
# Configure API key authorization: api_key
configuration = wavefront_api_client.Configuration()
configuration.api_key['X-AUTH-TOKEN'] = 'YOUR_API_KEY'
# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
# configuration.api_key_prefix['X-AUTH-TOKEN'] = 'Bearer'
# create an instance of the API class
api_instance = wavefront_api_client.MetricApi(wavefront_api_client.ApiClient(configuration))
m = 'm_example' # str | Metric name
l = 56 # int | limit (optional)
c = 'c_example' # str | cursor value to continue if the number of results exceeds 1000 (optional)
h = ['h_example'] # list[str] | glob pattern for sources to include in the query result (optional)
try:
# Get more details on a metric, including reporting sources and approximate last time reported
api_response = api_instance.get_metric_details(m, l=l, c=c, h=h)
pprint(api_response)
except ApiException as e:
print("Exception when calling MetricApi->get_metric_details: %s\n" % e)
Name | Type | Description | Notes |
---|---|---|---|
m | str | Metric name | |
l | int | limit | [optional] |
c | str | cursor value to continue if the number of results exceeds 1000 | [optional] |
h | list[str] | glob pattern for sources to include in the query result | [optional] |
- Content-Type: Not defined
- Accept: application/json, application/x-javascript, application/javascript
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